cresis data processing and analysis jerome e. mitchell indiana university - bloomington
TRANSCRIPT
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CReSIS Data Processing and Analysis
Jerome E. Mitchell
Indiana University - Bloomington
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Data Processing & Analysis• CReSIS is part of BIG data revolution – will
reach PB of data– Develop innovative computer vision algorithms to
automate layers from radar data– Support data processing efforts
• REUs involved in research from ADMI
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Overview• Introduction • Applications
– Near Surface Internal Layers – Surface and Bedrock Layers
• Conclusion• What’s Next
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Introduction • Problem
– Identifying Layers requires dense hand selection
• Understanding Layers in the radar images:– helps compute the ice thickness and accumulation
rate maps– help studies relating to the ice sheets, their volume,
and how they contribute to climate change.
• Develop an automated tool for tracing Layers in radar imagery
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Estimating Near Surface Internal Layers
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Algorithm for Estimating Near Surface Internal Layers1. Identify Ice Surface
2. Classify Curve Points
3. Active Contours (Snakes)
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Algorithm for Estimating Near Surface Internal Layers1. Identify Ice Surface
2. Classify Curve Points
3. Active Contours (Snakes)
![Page 8: CReSIS Data Processing and Analysis Jerome E. Mitchell Indiana University - Bloomington](https://reader036.vdocuments.mx/reader036/viewer/2022062722/56649f2f5503460f94c49b1f/html5/thumbnails/8.jpg)
Algorithm for Estimating Near Surface Internal Layers1. Identify Ice Surface
2. Classify Curve Points
3. Active Contours (Snakes)
![Page 9: CReSIS Data Processing and Analysis Jerome E. Mitchell Indiana University - Bloomington](https://reader036.vdocuments.mx/reader036/viewer/2022062722/56649f2f5503460f94c49b1f/html5/thumbnails/9.jpg)
Algorithm for Estimating Near Surface Internal Layers1. Identify Ice Surface
2. Classify Curve Points
3. Active Contours (Snakes)
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Estimating Surface and Bedrock Layers
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Algorithm for Estimating Surface and Bedrock1. Identify an Ellipse
2. Active Contours (Level Sets)
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Algorithm for Estimating Surface and Bedrock1. Identify an Ellipse
2. Active Contours (Level Sets)
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Conclusion • Identified Near Surface Internal Layers
– Snow Radar Data
• Identified Surface and Bedrock Layers– Multichannel Coherent Radar Depth Sounder Data
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What’s Next• Improve internal, surface, and bedrock detection
algorithms for more data products – Learning algorithms– Incorporate meta data– Identify non layers
• CReSIS Data Processing– Amazon [EC2 & S3 and Glacier] and Mathworks
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